Andrew McCormack

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All published works

Action	Title	Year	Authors
+ PDF Chat	Robust Score Matching	2025	R Schwank Andrew McCormack Mathias Drton
+	Rational maximum likelihood estimators of Kronecker covariance matrices	2024	Mathias Drton Alexandros Grosdos Andrew McCormack
+	Rational Maximum Likelihood Estimators of Kronecker Covariance Matrices	2024	Mathias Drton Alexandros Grosdos Andrew McCormack
+ PDF Chat	Core shrinkage covariance estimation for matrix-variate data	2023	Peter D. Hoff Andrew McCormack Anru R. Zhang
+ PDF Chat	Equivariant estimation of Fréchet means	2023	Andrew McCormack Peter D. Hoff
+ PDF Chat	Tests of linear hypotheses using indirect information	2023	Andrew McCormack Peter D. Hoff
+	Information Geometry and Asymptotics for Kronecker Covariances	2023	Andrew McCormack Peter D. Hoff
+ PDF Chat	The Stein effect for Fréchet means	2022	Andrew McCormack Peter D. Hoff
+	Tests of Linear Hypotheses using Indirect Information	2022	Andrew McCormack Peter D. Hoff
+	Core Shrinkage Covariance Estimation for Matrix-variate Data	2022	Peter D. Hoff Andrew McCormack Anru R. Zhang
+	Equivariant Estimation of Fréchet Means	2021	Andrew McCormack Peter D. Hoff
+	The Stein Effect for Frechet Means	2020	Andrew McCormack Peter D. Hoff
+ PDF Chat	A directional look at <i>F</i>‐tests	2019	Andrew McCormack Nancy Reid Nicola Sartori Sri‐Amirthan Theivendran
+	A New Look at $F$-Tests	2018	Andrew McCormack Nancy Reid Nicola Sartori Sri‐Amirthan Theivendran
+	A New Look at $F$-Tests	2018	Andrew McCormack Nancy Reid Nicola Sartori Sri‐Amirthan Theivendran

Common Coauthors

Coauthor	Papers Together
Peter D. Hoff	9
Sri‐Amirthan Theivendran	3
Mathias Drton	3
Nicola Sartori	3
Nancy Reid	3
Alexandros Grosdos	2
Anru Zhang	2
R Schwank	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	The mle algorithm for the matrix normal distribution	1999	Pierre Dutilleul	2
+ PDF Chat	Existence and uniqueness of the Kronecker covariance MLE	2021	Mathias Drton Satoshi Kuriki Peter D. Hoff	2
+	Testing Statistical Hypotheses	2021	E. L. Lehmann	2
+	Conical tests: Observed levels of significance and confidence regions	1985	D. A. S. Fraser Hélène Massam	2
+ PDF Chat	Accurate directional inference for vector parameters	2016	D. A. S. Fraser Nancy Reid Nicola Sartori	2
+	Equivariant minimax dominators of the MLE in the array normal model	2015	David Gerard Peter D. Hoff	2
+ PDF Chat	Gaussian and robust Kronecker product covariance estimation: Existence and uniqueness	2016	Ilya Soloveychik Dmitry Trushin	2
+	Geometry of the Space of Phylogenetic Trees	2001	Louis J. Billera Susan Holmes Karen Vogtmann	2
+ PDF Chat	Intrinsic Statistics on Riemannian Manifolds: Basic Tools for Geometric Measurements	2006	Xavier Pennec	2
+	Some matrix-variate distribution theory: Notational considerations and a Bayesian application	1981	A. P. Dawid	2
+	Geometry of the space of phylogenetic trees	2000	Louis J. Billera Susan Holmes Karen Vogtmann	2
+ PDF Chat	Large sample theory of intrinsic and extrinsic sample means on manifolds	2003	Rabi Bhattacharya Vic Patrangenaru	2
+	Introduction to Riemannian Manifolds	2018	John M. Lee	2
+ PDF Chat	Maximum Likelihood Estimation for Matrix Normal Models via Quiver Representations	2021	Harm Derksen Visu Makam	2
+	Model selection and estimation in the matrix normal graphical model	2012	Jianxin Yin Hongzhe Li	2
+	Nonparametric Statistics on Manifolds and Their Applications to Object Data Analysis	2015	Victor Patrangenaru Leif Ellingson	2
+	Convergence rates for the generalized Fréchet mean via the quadruple inequality	2019	Christof Schötz	2
+	A Course in Metric Geometry	2001	Dmitri Burago Yuri Burago S. V. Ivanov	1
+	Linear Models in Statistics	2007	Alvin C. Rencher G. Bruce Schaalje	1
+ PDF Chat	Introduction to Smooth Manifolds	2012	John M. Lee	1
+	Invariant measures on groups and their use in statistics	1990	Robert A. Wijsman	1
+ PDF Chat	The Bayes/Non-Bayes Compromise: A Brief Review	1992	I. J. Good	1
+	Geometric Means in a Novel Vector Space Structure on Symmetric Positive‐Definite Matrices	2007	Vincent Arsigny Pierre Fillard Xavier Pennec Nicholas Ayache	1
+	Group representations in probability and statistics	1988	Persi Diaconis	1
+ PDF Chat	The Data-Smoothing Aspect of Stein Estimates	1984	Ker-Chau Li Jiunn Tzon Hwang	1
+ PDF Chat	The maximum likelihood degree	2006	Fabrizio Catanese Serkan Hoşten Amit Khetan Bernd Sturmfels	1
+	Strong Consistency of Frechet Sample Mean Sets for Graph-Valued Random Variables	2012	Cedric E. Ginestet	1
+	A rigorous framework for diffusion tensor calculus	2004	Philip Batchelor Maher Moakher David Atkinson Fernando Calamante Alan Connelly	1
+ PDF Chat	Models with a Kronecker product covariance structure: Estimation and testing	2008	Muni S. Srivastava Tatjana von Rosen Dietrich von Rosen	1
+	Probabilistic model for two dependent circular variables	2002	Harivans Pratap Singh	1
+	Shape and Shape Theory	1999	David G. Kendall T. K. Carne D. Barden	1
+ PDF Chat	A Riemannian Framework for Tensor Computing	2005	Xavier Pennec Pierre Fillard Nicholas Ayache	1
+ PDF Chat	A Family of Minimax Estimators of the Mean of a Multivariate Normal Distribution	1970	Alvin Baranchik	1
+ PDF Chat	The control of the false discovery rate in multiple testing under dependency	2001	Yoav Benjamini Daniel Yekutieli	1
+ PDF Chat	Bayesian-motivated tests of function fit and their asymptotic frequentist properties	2004	Marc Aerts Gerda Claeskens Jeffrey D. Hart	1
+	Robust shrinkage estimation for elliptically symmetric distributions with unknown covariance matrix	2003	Dominique Fourdrinier William E. Strawderman Martin T. Wells	1
+	Group invariance applications in statistics	1989	Morris L. Eaton	1
+	Approximation of Improper Prior Measures by Prior Probability Measures	1965	Charles Stein	1
+ PDF Chat	An Adaptive Test for a Subset of Coefficients in a Multivariate Regression Model	2006	Thomas W. O’Gorman	1
+	Probability, Convexity, and Harmonic Maps with Small Image I: Uniqueness and Fine Existence	1990	Wilfrid S. Kendall	1
+ PDF Chat	The Geometry of Algorithms with Orthogonality Constraints	1998	Alan Edelman T. A. Arias Steven T. Smith	1
+ PDF Chat	On the Admissibility of Invariant Estimators of One or More Location Parameters	1966	Lawrence D. Brown	1
+ PDF Chat	Log‐Euclidean metrics for fast and simple calculus on diffusion tensors	2006	Vincent Arsigny Pierre Fillard Xavier Pennec Nicholas Ayache	1
+	Methods for improvement in estimation of a normal mean matrix	2007	Hisayuki Tsukuma Tatsuya Kubokawa	1
+ PDF Chat	Estimation of the Mean of a Multivariate Normal Distribution	1981	Charles Stein	1
+ PDF Chat	A Natural Identity for Exponential Families with Applications in Multiparameter Estimation	1978	Harold Hudson	1
+	Empirical Bayes on vector observations: An extension of Stein's method	1972	Bradley Efron Carl N. Morris	1
+	A nonparametric approach to 3D shape analysis from digital camera images — I	2009	Vic Patrangenaru X. Liu S. Sugathadasa	1
+	NON-NULL RANKING MODELS. I	1957	C. L. Mallows	1
+	On the convexity in Kronecker structured covariance estimation	2012	Ami Wiesel	1